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Internship Aws Machine Learning Jobs in Seattle, WA

Amazon

Applied Scientist, Internal Audit

Seattle, WA · On-site

... AWS machine learning and generative AI services (e.g., Bedrock, AgentCore, SageMaker), owning the full lifecycle from prototype through production deployment, monitoring, and iterative improvement ...

3B Staffing LLC

AWS ML Engineer

Seattle, WA · On-site

$130K - $156K/yr

Build, train, and evaluate machine learning models using AWS services such as SageMaker, and frameworks like TensorFlow. ETL and Data Preparation: Work with AWS Glue, Redshift, Textract and other ...

3B Staffing LLC

AWS ML Engineer

Seattle, WA · On-site

$130K - $156K/yr

Build, train, and evaluate machine learning models using AWS services such as SageMaker, and frameworks like TensorFlow. ETL and Data Preparation: Work with AWS Glue, Redshift, Textract and other ...

Remitly Inc.

Staff Machine Learning Engineer

Seattle, WA · On-site

$208 - $260/hr

## Staff Machine Learning EngineerApplylocations: Seattle, Washington United Statestime type: Full ... Experience working with major cloud platforms (AWS, GCP, or Azure).* Experience with one or more of ...

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Internship Aws Machine Learning information

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$29K

$48.5K

$100.1K

How much do internship aws machine learning jobs pay per year?

As of Sep 5, 2026, the average yearly pay for internship aws machine learning in Seattle, WA is $48,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $52,300.00 per year, depending on experience, location, and employer.

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Internship Aws Machine Learning jobs near you
Infographic showing various Internship Aws Machine Learning job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $48,461 per year, or $23.3 per hour.

Applied Scientist, Internal Audit

Amazon

Seattle, WA • On-site

Full-time

Posted 23 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,151 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers

Job description

Are you passionate about data, enjoy solving complex analytical problems, leveraging industry leading agentic AI technologies to derive insight at scale - all in a challenging, fast-paced environment. We are seeking an Applied Scientist to accelerate the growth of Amazon Internal Audit's Data Science & Risk Intelligence initiatives. The team builds ML and AI solutions that expand self-service data utilization by audit teams, utilizing the right methods to derive deeper patterns, and surface insights to gain holistic perspectives while amplifying potential risk mitigation.
Key job responsibilities
- Work with audit teams, product managers, engineers, and more senior scientists to deliver machine learning and generative AI products that carry real degrees of ambiguity, scale, and complexity.
- Design, build, and evaluate agentic AI systems - multi-agent workflows, retrieval-augmented generation, and tool-using agents - that automate and augment audit work, applying rigorous LLM-as-judge and human-aligned evaluation to measure and improve output quality.
- Apply statistical analysis and classical machine learning using SQL and scripting languages like Python/R over large datasets to develop insights and recommendations that strengthen internal audit.
- Architect secure, scalable solutions on AWS machine learning and generative AI services (e.g., Bedrock, AgentCore, SageMaker), owning the full lifecycle from prototype through production deployment, monitoring, and iterative improvement, working closely with auditors to understand their business needs.
- Build and maintain the team's production and experimentation infrastructure, including deployment pipelines, observability and tracing, and evaluation harnesses.
- Advance applied research by exploring emerging techniques and sharing findings through internal and external publications, talks, and conferences.
A day in the life
As an Applied Scientist, you will help shape and execute a product roadmap that connects risk to the business, building AI products - increasingly centered on large language models and agentic systems - that make audit work more effective and efficient

Your work spans the full arc of applied science: framing ambiguous problems, prototyping with the latest generative AI techniques, building rigorous evaluations, and deploying solutions in production. The ideal candidate pairs a strong foundation in data science and machine learning with a builder's instinct for production architecture, thrives on ambiguity, and stays close to a fast-moving research frontier.
About the team
Internal Audit's mission is to help our businesses improve controllership, operational efficiency, and customer experience.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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